Yahia Elsayed Mohamed Elhorbaty  <br/><br/>
Random coefficients regression model for multilevel data /  
 نموذج الانحدار ذو المعاملات العشوائية لبيانات المستويات المتعددة 
Yahia Elsayed Mohamed Elhorbaty ; Supervised Tarik Abdelwahab Amira , Ahmed Hassan Youssef 
 - Cairo :   Yahia Elsayed Mohamed Elhorbaty ,   2009 
 - 121 P. :   charts ;   25cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Economics and Political Science - Department of Statistics 
<br/><br/> Multilevel models are those models designed to handle hierarchically structured data and hence ara widely appearing in many studies that undergo social science research. A special sub - model is called the random coefficients regression (RCR) model where the regression coefficients are assumed random ; consisting of a fixed part as well as a random error component 
<br/><br/>
<br/><br/><label>Subjects--Index Terms: </label>Hierarchical data structures  Multilevel models  Random coefficients regression model